Large Deviations in Generalized Random Graphs with Node Weights
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DOI: 10.1007/s10114-018-7357-6
Abstract: Generalized random graphs are considered where the presence or absence of an edge depends on the weights of its nodes. Our main interest is to investigate large deviations for the number of edges per node… read more here.
Keywords: generalized random; random graphs; large deviations; node weights ... See more keywords
On Baxter Type Theorems for Generalized Random Gaussian Processes with Independent Values
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DOI: 10.1007/s10559-020-00238-5
Abstract: We construct suitable families of basic functions and prove theorems of Baxter type for generalized Gaussian random processes with independent values. These theorems are used to divide families of such processes into classes. The singularity… read more here.
Keywords: processes independent; theorems generalized; baxter type; generalized random ... See more keywords
Large deviations for empirical measures of generalized random graphs
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DOI: 10.1080/03610926.2020.1779748
Abstract: In a generalized random graph with random vertex weights, we investigate the asymptotic behaviors for two crucial empirical measures: The empirical pair measure, which represents the number of edge... read more here.
Keywords: generalized random; deviations empirical; empirical measures; random ... See more keywords
Variable selection in generalized random coefficient autoregressive models
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DOI: 10.1186/s13660-018-1680-4
Abstract: In this paper, we consider the variable selection problem of the generalized random coefficient autoregressive model (GRCA). Instead of parametric likelihood, we use non-parametric empirical likelihood in the information theoretic approach. We propose an empirical… read more here.
Keywords: coefficient autoregressive; generalized random; selection generalized; random coefficient ... See more keywords